Results 41 to 50 of about 50,721 (156)
Information Sciences, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pawlak, Zdzisław, Skowron, Andrzej
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Rough semigroups and rough fuzzy semigroups based on fuzzy ideals
Open Mathematics, 2016 In this paper, we firstly introduce a special congruence relation U(μ, t) induced by a fuzzy ideal μ in a semigroup S. Then we define the lower and upper approximations based on a fuzzy ideal in semigroups. We can establish rough semigroups, rough ideals,
Wang Qiumei, Zhan Jianming
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Interval Neutrosophic Rough Set
Neutrosophic Sets and Systems, 2014 This paper combines interval-valued neutrosophic sets and rough sets. It studies rougheness in interval-valued neutrosophic sets and some of its properties. Finally we propose a Hamming distance between lower an upper approximations of interval neutrosophic sets.
Said Broumi, Florentin Smarandache
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More on neutrosophic soft rough sets and its modification [PDF]
Neutrosophic Sets and Systems, 2015 This paper aims to introduce and discuss anew mathematical tool for dealing with uncertainties, which is a combination of neutrosophic sets, soft sets and rough sets, namely neutrosophic soft rough set model. Also, its modification is introduced. Some of
Emad Marei
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Feature selection based on neighborhood rough sets and Gini index. [PDF]
PeerJ Comput Sci, 2023 Zhang Y +8 more
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Comparative Overview of Rough Set Toolkit Systems for Data Analysis
MATEC Web of Conferences, 2019 Inconsistency, lacking values of attributes or parameters, as well as discrepancies between records caused by insufficient precision cannot always be managed in the initial phases of knowledge discovery, i.e., data preparation and refinement.
Pięta Piotr +2 more
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Rough sets models inspired by supra-topology structures. [PDF]
Artif Intell Rev, 2023 Al-Shami TM, Alshammari I.
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Rough-Fuzzy Clustering Based on Two-Stage Three-Way Approximations
IEEE Access, 2018 A general framework of rough-fuzzy clustering based on two-stage three-way approximations is presented in this paper. The proposed framework can deal with the uncertainties caused by the membership degree distributions of patterns.
Jie Zhou +4 more
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Approximation operators and accuracy measures of rough sets from an infra-topology view. [PDF]
Soft comput, 2023 Al-Shami TM, Mhemdi A.
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